What are the responsibilities and job description for the Senior AWS - Data & AI Solutions Architect position at Advent Global Solutions, Inc.?
Senior Data & AI Solutions Architect
Location: Auburn Hills, MI
Work Arrangement: Onsite
Type: Contract-to-Hire (C2H)
Job Description
We are seeking a Senior Data & AI Solutions Architect to design and lead enterprise AI and data solutions. The ideal candidate combines AWS Cloud, Generative AI, Agentic AI, hands-on development, enterprise integration, and strong stakeholder management.
Responsibilities
Design end-to-end architectures for AI-powered data solutions, intelligent agents, automation workflows, and multi-agent systems.
Translate business requirements into scalable AI, data, integration, security, and deployment architectures.
Design RAG solutions for secure access to structured and unstructured enterprise data.
Define APIs, event-driven architectures, canonical data models, integration strategies, and knowledge management frameworks.
Establish AI security, governance, privacy, responsible AI, and human-in-the-loop controls.
Provide technical leadership across Architecture, Engineering, Security, Data, and Operations teams.
Work directly with business, Telecom, Salesforce, and AWS stakeholders.
Lead architecture, implementation roadmaps, technical documentation, and solution reviews.
Required Skills
10 years in Solution, Enterprise, Cloud, Data, or Integration Architecture.
Strong AWS or other hyperscaler experience; AWS preferred.
Strong experience with Generative AI, Agentic AI, LLMs, Conversational AI, and multi-agent architectures.
Hands-on experience developing AI/GenAI solutions.
Experience with AWS Bedrock, SageMaker, or similar AI services.
Strong RAG, enterprise data, APIs, event-driven architecture, and integration experience.
Experience integrating enterprise platforms such as Salesforce, CRM, ERP, or ITSM.
Hands-on development experience with Python, Java, APIs, SDKs, or similar technologies.
Knowledge of authentication, authorization, IAM, security, AI governance, and data privacy.
Strong business communication, stakeholder management, and leadership skills.
Experience working in Agile and/or waterfall environments with globally distributed teams.
Ideal Candidate
An experienced Solutions/Enterprise Architect with a development background who has recently designed or built Agentic AI / Generative AI solutions on AWS and can communicate effectively with both technical and business stakeholders.
Key Skills: AWS | Agentic AI | Generative AI | AI Agents | LLM | RAG | AWS Bedrock | Python | APIs | Event-Driven Architecture | Salesforce | Enterprise Integration | Solution Architecture